Data analysis with LLMs : text, tables, images and sound / Immanuel Trummer.

Format:

Sound recording

Author/Creator:

Trummer, Immanuel, author.

Language:

English

Subjects (All):

Natural language processing (Computer science).

Quantitative research.

Physical Description:

1 online resource (1 audio file (6 hr., 37 min.))

Edition:

[First edition].

Place of Publication:

[Place of publication not identified] : Manning Publications, [2025]

Summary:

Speed up common data science tasks with AI assistants like ChatGPT and Large Language Models (LLMs) from Anthropic, Cohere, Open AI, Google, Hugging Face, and more! Data Analysis with LLMs teaches you to use the new generation of AI assistants and Large Language Models (LLMs) to aid and accelerate common data science tasks. Learn how to use LLMs to: Analyze text, tables, images, and audio files Extract information from multi-modal data lakes Classify, cluster, transform, and query multimodal data Build natural language query interfaces over structured data sources Use LangChain to build complex data analysis pipelines Prompt engineering and model configuration All practical, Data Analysis with LLMs takes you from your first prompts through advanced techniques like creating LLM-based agents for data analysis and fine-tuning existing models. You'll learn how to extract data, build natural language query interfaces, and much more. About the Technology Large Language Models (LLMs) can streamline and accelerate almost any data science task. Master the techniques in this book, and you'll be able to analyze large amounts of text, tabular and graph data, images, videos, and more with clear natural language prompts and a few lines of Python code. About the Book Data Analysis with LLMs shows you exactly how to integrate generative AI into your day-to-day work as a data scientist. In it, Cornell professor Immanuel Trummer guides you through a series of engaging projects that introduce OpenAI's Python library, tools like LangChain and LlamaIndex, and LLMs from Anthropic, Cohere, and Hugging Face. As you go, you'll use AI to query structured and unstructured data, analyze sound and images, and optimize the cost and quality of your data analysis process. What's Inside Classify, cluster, transform, and query multimodal data Build natural language query interfaces over structured data sources Create LLM-based agents for autonomous data analysis Prompt engineering and model configuration About the Reader For data scientists and data analysts who know the basics of Python. About the Author Immanuel Trummer is an associate professor of computer science at Cornell University and a member of the Cornell Database Group. Quotes Comprehensive, insightful, and packed with hands-on guidance. A must-read! - Oren Etzioni, Allen Institute of AI Goes into the deep and fascinating areas that other books gloss over. It will level you up fast. - Andrew Carr, Cartwheel Helps you make LLMs an indispensable tool to process data of all types and uncover valuable insights with ease. - Aditya Parameswaran, University of California, Berkeley A valuable resource to leverage LLMs for multimodal data analysis. - Sumit Bhattacharyya, TELUS Health.

Notes:

OCLC-licensed vendor bibliographic record.

OCLC:

1521198117

Publisher Number:

9781633437647AU